Results 131 to 140 of about 10,083 (253)
Time‐Varying Dispersion Integer‐Valued GARCH Models
ABSTRACT We introduce a general class of INteger‐valued Generalized AutoRegressive Conditionally Heteroscedastic (INGARCH) processes by allowing simultaneously time‐varying mean and dispersion parameters. We call such models time‐varying dispersion INGARCH (tv‐DINGARCH) models.
Wagner Barreto‐Souza +3 more
wiley +1 more source
Abstract Arctic low clouds influence Arctic system evolution through their effects on the atmosphere and surface. Unfortunately, atmospheric models and retrospective analysis (reanalysis) struggle to simulate Arctic low cloud occurrence and properties.
J. B. Dodson +2 more
wiley +1 more source
This study investigates the multiscale evolution of forecast distributions using 1000‐member global circulation model ensembles. Initially different distributions converge to the same time‐varying equilibrium distribution, and the equilibration time scale noticeably exceeds the variance saturation time. Prior to equilibration, the forecast distribution
Man‐Yau Chan +5 more
wiley +1 more source
Central Limit Theorem for Random “Contractive” Functions on Interval
We use the approach from Czudek and Szarek (see [1]) to prove the central limit theorem for a stationary Markov chain generated by an iterative function system for a family of increasing, injective functions on [0, 1] with “contractive” properties.
Block Maciej +2 more
doaj +1 more source
Classical and quantum ergodicity
This chapter proves results involving the quantum ergodicity of certain high-frequency eigenfunctions. Ergodic theory originally arose in the work of physicists studying statistical mechanics at the end of the nineteenth century.
Christopher D. Sogge
core +1 more source
Abstract Since its observation in 2019, the first image of a super‐massive black hole using Very Long Baseline Interferometry (VLBI) with an Earth‐scale baseline has generated much scientific and public interest. Work is now underway to extend the baseline into space to obtain higher image resolution.
E. A. Burt +5 more
wiley +1 more source
Robust Calibration of Hydrological Models for Simulating Unseen Flood Extremes
Abstract Calibrating conceptual rainfall‐runoff models to predict a catchment's response to extreme rainfall events is a significant challenge, especially when historical data is limited and the event exceeds recorded extremes. This challenge is amplified in non‐stationary environments where the frequency and intensity of extreme rainfall and floods ...
Caleb Dykman +3 more
wiley +1 more source
Coherent Forecasting of Ordinal Time Series With Application to Air‐Quality Data
ABSTRACT Motivated by an application to air quality data, we provide a comprehensive investigation of coherent forecasting techniques for ordinal time series. Here, the coherency requirement expresses that the computed forecast values have to be consistent with the ordered qualitative range of the data‐generating process (DGP).
Christian H. Weiß +2 more
wiley +1 more source
Strong Ergodicity in Nonhomogeneous Markov Systems with Chronological Order
In the present, we study the problem of strong ergodicity in nonhomogeneous Markov systems. In the first basic theorem, we relax the fundamental assumption present in all studies of asymptotic behavior.
P.-C.G. Vassiliou
doaj +1 more source
Joint ergodicity along generalized linear functions
A criterion of joint ergodicity of several sequences of transformations of a probability measure space X of the form T-i(phi i(n)) is given for the case where T-i are commuting measure-preserving transformations of X and phi(i) are integer-valued ...
Leibman, A, Son, Y, Bergelson, V
core +1 more source

